March 2025
Intermediate
13h 44m
English
Overview
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Learn the technical and soft skills you need to succeed in your career as a data analyst.
You’ve learned how to use Python, R, SQL, and the statistical skills needed to get started as a data analyst—so, what’s next? Effective Data Analysis bridges the gap between foundational skills and real-world application. This book provides clear, actionable guidance on transforming business questions into impactful data projects, ensuring you’re tracking the right metrics, and equipping you with a modern data analyst’s essential toolbox.
In Effective Data Analysis, you’ll gain the skills needed to excel as a data analyst, including:
- Maximizing the impact of your analytics projects and deliverables
- Identifying and leveraging data sources to enhance organizational insights
- Mastering statistical tests, understanding their strengths, limitations, and when to use them
- Overcoming the challenges and caveats at every stage of an analytics project Applying your expertise across a variety of domains with confidence
Effective Data Analysis is full of sage advice on how to be an effective data analyst in a real production environment. Inside, you’ll find methods that enhance the value of your work—from choosing the right analysis approach, to developing a data-informed organizational culture.
About the Technology
Data analysts need top-notch knowledge of statistics and programming. They also need to manage clueless stakeholders, navigate messy problems, and advocate for resources. This unique book covers the essential technical topics and soft skills you need to be effective in the real world.
About the Book
Effective Data Analysis helps you lock down those skills along with unfiltered insight into what the job really looks like. You’ll build out your technical toolbox with tips for defining metrics, testing code, automation, sourcing data, and more. Along the way, you’ll learn to handle the human side of data analysis, including how to turn vague requirements into efficient data pipelines. And you’re sure to love author Mona Khalil’s illustrations, industry examples, and a friendly writing style.
What's Inside
- Identify and incorporate external data
- Communicate with non-technical stakeholders
- Apply and interpret statistical tests
- Techniques to approach any business problem
About the Reader
Written for early-career data analysts, but useful for all.
About the Author
Mona Khalil is the Senior Manager of Analytics Engineering at Justworks.
Quotes
Your roadmap to becoming a standout data analyst! An intriguing blend of technical expertise and practical wisdom.
- Chester Ismay, MATE Seminars
A thoughtful guide to delivering real-world data analysis. It will be an eye-opening read for all data professionals!
- David Lee, Justworks Inc.
Compelling insights into the relationship between organizations and data. The real-life examples will help you excel in your data career.
- Jeremy Moulton, Greenhouse
Mona’s wide range of experience shines in her thoughtful, relevant examples.
- Jessica Cherny, Fivetran
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